Cognitive Impairment and Insomnia in Celiac Disease: A Systematic Review and Meta-Analysis.

Emerging evidence suggests a broader spectrum of celiac disease (CeD) system involvement, including neurological manifestations. We aimed to conduct a systematic review and meta-analysis of the available evidence from studies assessing the association of cognitive impairment and insomnia with CeD. A total of 259 participants with CeD were included in the studies investigating insomnia and 179 were included in studies investigating cognitive impairment. The overall pooled odds ratio for insomnia in patients with CeD was 1.83 (95% confidence interval, 1.38 to 2.42; I2=0.00%). The present study provides valuable insights into the available evidence from studies investigating cognitive impairment in patients with CeD and our systematic review and metaanalysis revealed a significant association between CeD and insomnia.

Prevalence of neurocognitive impairment in patients with rheumatoid arthritis - a systematic review and meta-analysis.

ObjectiveThis study aimed to evaluate prevalence rates (PRs) of neurocognitive impairment and its potential moderators among patients with rheumatoid arthritis (RA). MethodA systematic review of the available literature and data extraction was undertaken on 6 August 2021, with the update by 14 September 2023, by two reviewers independently. Literature was screened for reported rates of prevalence of neurocognitive impairment in RA patients. The meta-analysis was performed using RStudio with the "meta" library. ResultsTwenty-two studies that fulfilled all selection criteria were carefully analyzed. The PR of neurocognitive impairment was 0.49 [0.38-0.61] across all studies included in the review; 0.75 [0.54-0.88] for the MoCA; 0.56 [0.40-0.72] for the MMSE; and 0.26 [0.16-0.38] for comprehensive batteries. The meta-regression results indicated that, depending on the measurement method, the percentage of subjects with positive rheumatoid factor, women ratio, mean age of participants, mean duration of RA, and percentage of domains that had to be impaired to diagnose neurocognitive impairment turned out to be statistically significant moderators. ConclusionsNeurocognitive impairment is a clinically relevant condition in many RA patients, and its prevalence is alarming high.

Rheumatoid arthritis (RA) is a chronic systemic disease that has a significant negative impact on functioning. Difficulties experienced by RA patients described in the literature may involve various organs and systems, including the central nervous system. The results obtained in the review indicate that cognitive impairment may affect, depending on the measurement method, up to approximately 75% of the patients. Due to potential limitations related to cognitive dysfunctions, such as reduced compliance or difficulties in everyday functioning, such a high prevalence of neurocognitive dysfunctions is an argument for screening RA patients and developing appropriate support methods.

Depressive symptom mediates the association between the number of chronic diseases and cognitive impairment: a multi-center cross-sectional study based on community older adults.

Objective: The purpose of this study was to understand the relationship between the multiple chronic conditions (MCC), mental health and cognitive function of older adults in the community, and to propose a hypothesis that depressive symptom mediate the number of chronic diseases and cognitive impairment in older adults. Method: Participants aged 65 years and older from 35 communities in 14 cities in Guangxi, China were recruited. The residents' depressive symptom (PHQ-9) and cognitive status (AD-8) were evaluated, Chi-square test was used to explore the effects of different socio-demographic characteristics on depressive symptom and cognitive impairment. Pearson correlation analysis and the process model 4 were used to explore the relationship between the number of chronic diseases, depressive symptom and cognitive impairment. Result: A total of 11,582 older adults were included in our analysis. The rate of MCC reaching 26.53%. Hypertension combined with diabetes accounts for the highest proportion of two chronic diseases (13.2%). Among the combination of three chronic diseases, the highest incidence of coexisting hypertension combined with cervical/lumbar spondylosis, and rheumatoid arthritis (7.1%). In this study, depression symptoms accounted for 12.9% of older adults aged 65 and above, and cognitive impairment accounted for 27.4%. Female, older age, reside in urban areas, lower educational levels, no spouse, live alone, and MCC were risk factors for depressive symptom and cognitive impairment in older adults (P<0.05). Depressive symptom had a mediating effect in the number of chronic diseases and cognitive impairment, and the mediating effect (1.109) accounted for 44.13% of the total effect (0.247). Conclusion: The mental health of the older adult needs to be taken seriously, and improving depressive symptom can reduce the occurrence of cognitive impairment in older patients with MCC to a certain extent.

Cognitive impairment and associated factors among patients with diabetes mellitus in Africa: a systematic review and meta-analysis.

Background: Inappropriate management of blood sugar in patients with diabetes mellitus leads to micro-vascular and macro-vascular complications, subsequently leading to high morbidity and mortality rates. In addition, diabetes independently increases the occurrence of cognitive impairment complicated by dementia. Scientific evidence on the magnitude of cognitive impairment will provide a sound basis for the determination of healthcare needs and the planning of effective healthcare services. Despite this, there are no comprehensive data on the prevalence and associated factors of cognitive impairment among patients with diabetes in Africa. Methods: To identify relevant articles for this review, we searched PubMed, Cochrane Library, Science Direct, African Journals Online, and Google Scholar. After extraction, the data were imported into Stata software version 11 (Stata Corp., TX, USA) for further analysis. The random-effects model, specifically the DerSimonian and Laird (D+L) pooled estimation method, was used due to the high heterogeneity between the included articles. Begg's and Egger's regression tests were used to determine the evidence of publication bias. Sub-group analyses and sensitivity analyses were also conducted to handle heterogeneity. Results: The pooled prevalence of cognitive impairment among patients with diabetes in Africa is found to be 43.99% (95% CI: 30.15-57.83, p < 0.001). According to our analysis, primary level of education [pooled odds ratio (POR) = 6.08, 95% CI: 3.57-10.36, I 2 = 40.7%], poorly controlled diabetes mellitus (POR = 5.85, 95% CI: 1.64-20.92, I 2 = 87.8%), age above 60 years old (POR = 3.83, 95% 95% CI: 1.36-10.79, I 2 = 63.7%), and diabetes duration greater than 10 years (POR = 1.13; 95% CI: 1.07-1.19, I 2 = 0.0%) were factors associated with cognitive impairment among patients with diabetes. Conclusion: Based on our systematic review, individuals with diabetes mellitus exhibit a substantial prevalence rate (43.99%) of cognitive impairment. Cognitive impairment was found to be associated with factors such as primary level of education, poorly controlled diabetes mellitus, age above 60 years, and diabetes duration greater than 10 years. Developing suitable risk assessment tools is crucial to address uncontrolled hyperglycemia effectively. Systematic review registration: https://www.crd.york.ac.uk/prospero, identifier CRD42024561484.

Predicting the severity of mood and neuropsychiatric symptoms from digital biomarkers using wearable physiological data and deep learning.

Neuropsychiatric symptoms (NPS) and mood disorders are common in individuals with mild cognitive impairment (MCI) and increase the risk of progression to dementia. Wearable devices collecting physiological and behavioral data can help in remote, passive, and continuous monitoring of moods and NPS, overcoming limitations and inconveniences of current assessment methods. In this longitudinal study, we examined the predictive ability of digital biomarkers based on sensor data from a wrist-worn wearable to determine the severity of NPS and mood disorders on a daily basis in older adults with predominant MCI. In addition to conventional physiological biomarkers, such as heart rate variability and skin conductance levels, we leveraged deep-learning features derived from physiological data using a self-supervised convolutional autoencoder. Models combining common digital biomarkers and deep features predicted depression severity scores with a correlation of r = 0.73 on average, total severity of mood disorder symptoms with r = 0.67, and mild behavioral impairment scores with r = 0.69 in the study population. Our findings demonstrated the potential of physiological biomarkers collected from wearables and deep learning methods to be used for the continuous and unobtrusive assessments of mental health symptoms in older adults, including those with MCI. TRIAL REGISTRATION: This trial was registered with ClinicalTrials.gov (NCT05059353) on September 28, 2021, titled "Effectiveness and Safety of a Digitally Based Multidomain Intervention for Mild Cognitive Impairment".

Systematic review and meta-analysis of transcranial direct current stimulation (tDCS) for global cognition in mild cognitive impairment and Alzheimer's disease.

OBJECTIVE: To systematically assess the effectiveness of transcranial direct current stimulation (tDCS) on global cognition in patients with mild cognitive impairment (MCI) and Alzheimer's disease (AD). DATA SOURCES: Ten databases were retrieved for pertinent Chinese and English studies published up until February 2023. DATA EXTRACTION: Two researchers independently selected the literature, extracted the data, evaluated using the Cochrane Collaboration's quality criteria, and then cross-checked. Meta-analysis was performed using RevMan 5.4. RESULTS: 22 studies involving 1074 patients were included. Compared with the control group received the interventions such as pharmacotherapy, cognitive stimulation, et al., with/without sham-tDCS, while the experiment group received tDCS added to the interventions of the control group. The meta-analysis found that tDCS increased MMSE, MoCA, MODA scores and reduced the P300 latency scores (all P < 0.05). CONCLUSION: The tDCS can ameliorate the global cognition of patients with MCI and AD, and it has a better rehabilitation effect than non-tDCS or sham-tDCS.

Abnormal Functional Attributes of Central Executive Network in Patients with Mild Cognitive Impairment Associated with End-Stage Renal Disease.

RATIONALE AND OBJECTIVES: To assess changes in the central executive network (CEN) of patients with mild cognitive impairment (MCI) associated with end-stage renal disease (ESRD). METHODS: A total of 121 patients with ESRD and 66 healthy controls (HCs) were enrolled. Patients were divided into an MCI group (n = 67) and a cognitively unimpaired group (n = 54). All participants underwent resting-state functional magnetic resonance imaging and were evaluated using the Montreal Cognitive Assessment (MoCA). The functional attributes of the CEN were calculated using three methods of functional connectivity (FC) analysis. Relationships among imaging features, cognitive scale scores, and clinical data were assessed, and a model was constructed to diagnose MCI in patients with ESRD. RESULTS: The comparison of the three groups showed that there were significant differences in the FC values of five connection pairs within the CEN, and the CEN demonstrated significant differences in connectivity to ten brain regions. In patients with MCI associated with ESRD, the information transmission efficiency of the CEN was reduced, which demonstrates the characteristics of a random network to some extent. Significant correlations were observed among imaging parameters, cognitive scale scores, and clinical data. The diagnostic model constructed based on these results demonstrated excellent discrimination and calibration. CONCLUSION: Alterations in the function of the CEN provide relevant bases for revealing the neuropathological mechanism of MCI in patients with ESRD. The diagnostic model developed in this study may help to establish more reliable imaging markers for detecting early cognitive impairment in this patient population.

Perceived Stigma Toward Cognitive Impairment Among People With Schizophrenia.

OBJECTIVE: Stigma toward schizophrenia spectrum disorders is pervasive and negatively influences service access and delivery. Cognitive impairment associated with schizophrenia (CIAS) is common, but its association with stigma is unknown. In this study, the authors examined whether individuals with CIAS receiving cognitive remediation treatment report experiencing CIAS-related stigma and sought to establish associations between CIAS-related stigma and recovery-relevant outcomes. METHODS: Data from 48 individuals with schizophrenia spectrum diagnoses were drawn from a larger study evaluating cognitive remediation. Participants completed measures of CIAS-related stigma, internalized mental illness stigma, self-perceived cognitive impairment, cognitive performance, and interviewer-rated quality of life. RESULTS: CIAS-related stigma was commonly reported and significantly positively associated with internalized stigma and self-perceived cognitive impairment. CIAS-related stigma was also significantly negatively associated with motivation to engage in goal-directed behavior and daily activities. CONCLUSIONS: CIAS-related stigma exists and warrants additional exploration with regard to implications for psychiatric service delivery.

Distinct Clinical Implications of Patient- Versus Clinician-Rated Motor Symptoms in Parkinson's Disease.

BACKGROUND: Patient-rated motor symptoms (PRMS) and clinician-rated motor symptoms (CRMS) often differ in Parkinson's disease (PD). OBJECTIVE: Our goal was to investigate the determinants and clinical implications of PRMS compared with CRMS in PD. METHODS: This retrospective, observational cohort study analyzed the cross-sectional associations and longitudinal impacts of PRMS as assessed by the Movement Disorders Society-sponsored Unified PD Rating Scale (MDS-UPDRS) part 2, while controlling for CRMS measured by MDS-UPDRS part 3. Longitudinal analyses used Cox proportional hazards models and multiple linear mixed-effects random intercepts/slope models, adjusting for many clinical predictors. We conducted propensity score matching (PSM) to reinforce our analyses' robustness and surface-based morphometry to investigate neural correlates. RESULTS: We enrolled 442 patients with early-stage PD. At baseline, regardless of CRMS, PRMS were associated with the severity of postural instability and gait disturbance (PIGD). Notably, PRMS independently and more accurately predicted faster long-term deterioration in motor function than CRMS (Hoehn and Yahr 4, adjusted hazard ratio per +1 point = 1.19 [95% confidence intervals, 1.08-1.32]), particularly in PIGD (PIGD subscore, ß-interaction = 0.052 [95% confidence intervals, 0.018-0.086]). PSM confirmed these findings' robustness. Surface-based morphometry suggested that enhanced sensory processing was distinctively associated with PRMS. CONCLUSIONS: In early-stage PD, PRMS weighed different aspects of symptoms and more effectively predicted motor deterioration compared to CRMS, with distinctive brain structural characteristics. The superior sensitivity of PRMS to subtle declines in drug-refractory symptoms like PIGD likely underlie our results, highlighting the importance of understanding the differential clinical implications of PRMS to prevent long-term motor deterioration. © 2024 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Exploring the hidden mental health consequences of malaria beyond the fever.

Malaria morbidity has various presentations and the focus now shifts to uncommon signs and symptoms of malaria infection such as cognitive impairment to address the morbidity when the mortality declines. About 50% of children admitted to hospitals due to malaria experience neurological complications due to factors like low blood sugar, inflammation, elevated pressure, decreased oxygen levels, and excitotoxicity. Malaria during pregnancy negatively also impacts children's cognitive, behavioral, and executive function leading to neurodevelopmental delay due to increased susceptibility which can significantly affect maternal and child health, leading to higher rates of underestimated factors like anxiety, depression, and PTSD. Despite having the world's second-largest tribal population, India's indigenous and tribal communities and their mental health are less explored and less understood. Western psychological tools and neurocognitive assessment tools are not universally applicable, thus necessitating the development of tailored tools to investigate psychological or neurocognitive impairment. This paper has illuminated the hidden mental health consequences of malaria infection, emphasizing the prevalence, nature, and implications of psychological distress among affected individuals. The findings underscore the importance of recognizing and addressing these psychological consequences in the holistic management and prevention of malaria and its mental health consequences.

Cognitive impairment among alcohol treatment service users in South Wales: an exploratory examination of typologies of behaviour, impairment, and service attendance.

Introduction: Alcohol dependence is a global issue with many negative consequences, including alcohol-related brain damage (ARBD). Assessment of the sociodemographic and cognitive characteristics of individuals with confirmed or suspected ARBD presenting to alcohol services warrants further investigation. Methods: This study retrospectively examined rates of cognitive impairment using Montreal Cognitive Assessment (MoCA) data from 300 adults who visited three alcohol support services. We demonstrate that 55.3% of the sample had significant levels of cognitive impairment. Females' cognitive performance was disproportionately negatively affected by historical alcohol use relative to males. Results: The analysis identified four categories of participants, and the majority had a long history (+10 years) of alcohol use and were still actively drinking. Those taking part in active treatment for ARBD or practising abstinence demonstrated lower levels of cognitive impairment. Additionally, prior access to specialised ARBD care was associated with higher MoCA scores. Discussion: This research has identified a range of key service engagement, sociodemographic and cognitive characteristics that could be used to optimise support for those with alcohol dependence, whilst also highlighting some critical questions to be addressed in future research.

Profiles of physical frailty, social frailty, and cognitive impairment among older adults in rural areas of China: a latent profile analysis.

Background: As China rapidly ages, it has now become a deeply aging society with the largest number of older individuals in the world. The issue is particularly severe in rural areas. With the aging population growing and the older population expanding, health problems are becoming more prevalent among older individuals, particularly frailty and cognitive impairments. This study aimed to identify the profiles of physical frailty, social frailty, and cognitive impairment among older adults and explore the influencing factors. Methods: In this cross-sectional study, participants were recruited from six villages in four cities in Shandong Province, China from July to October 2023 through cluster random sampling. Latent profile analysis was used to determine the profiles of physical frailty, social frailty, and cognitive impairment. Chi-square tests and Mann-Whitney U tests were used for univariate analysis, while binary logistic regression was used to analyze the related factors. Results: Seven hundred and sixty-nine older adult care in rural areas showed two profiles: the "high cognitive function and low frailty" group (73.7%, n = 567) and the "low cognitive function and high frailty" group (26.3%, n = 202). A binary logistic regression found that older people were more likely to be aged 80 or older (OR = 2.253, p = 0.029), have a low income level (OR = 1.051, p = 0.007), have one or two (OR = 2.287, p = 0.004), or more than three chronic diseases (OR = 3.092, p = 0.002), and report moderate (OR = 3.406, p = 0.024) or poor health status (OR = 9.085, p < 0.001) in the "low cognitive function and high frailty" group. Meanwhile, older adults who have completed high school (OR = 0.428, p = 0.005) or junior college and above (OR = 0.208, p = 0.009), and engage in adequate physical activity (OR = 0.319, p < 0.001) were more likely to be in the "high cognitive function and low frailty" group. Conclusion: In the future, medical professors should increasingly prioritize promptly identifying and intervening in cognitive decline and frailty status in older individuals without delay.

Characteristics of Informal Caregivers and Social Participation of People with Dementia.

BACKGROUND AND OBJECTIVES: Social participation is associated with increased quality of life and well-being but declines following onset of dementia. Informal caregivers may facilitate social participation among people with dementia. This study aims to identify characteristics of informal caregivers associated with social participation of people with dementia in valued activities. RESEARCH DESIGN AND METHODS: This cross-sectional study used data from the 2011, 2015, and 2017 National Health and Aging Trends Study (NHATS) and the National Study of Caregiving (NSOC). NHATS respondents with possible or probable dementia and a family caregiver were included (N=1,060). Respondents were asked whether they participated in each of five social activities during the past month. Valued activities were considered somewhat or very important. Survey weighted logistic regression models were computed to identify characteristics of primary informal caregivers associated with participation of people with dementia in social activities. RESULTS: Social participation of people with dementia was not independently associated with sociodemographic variables or relationship to the primary caregiver (spouse/partner, adult child, or other relative/non-relative). Social participation of primary caregivers was associated with increased participation of people with dementia in the same activity for visiting friends/family (OR=1.88, p=0.016), attending religious services (OR=4.82, p<0.001), and volunteering (OR=3.25, p=0.015), while greater caregiver external support was associated with increased participation of people with dementia in organized activities (OR=1.37, p=0.022). DISCUSSION AND IMPLICATIONS: Assets of informal primary caregivers found to promote social participation of people dementia include traveling to the person with dementia's home, being socially active themselves and utilizing support services.

Sensory impairments and the risk of cognitive decline and dementia across sex, age, and regions: Longitudinal insights from Europe.

BACKGROUND: In aging populations, understanding predictors of cognitive decline is essential. We aimed to investigate the risk of cognitive decline and dementia by sensory impairments across sex, age, and European regions, and examined the mediating role of activities of daily living (ADL), physical activity, and depressive symptoms. METHODS: A cohort study of 72,287 Europeans aged 50+ participating in at least two waves of the Survey of Health, Ageing and Retirement in Europe. We employed mixed-effects and time-to-event models, incorporating sex interactions, and adjusting for socio-demographic factors and medical history. RESULTS: Compared to individuals with good vision and hearing, lower cognitive function was found for people with vision impairment (VI) (males: coef. -0.70, 95 % CI -0.95; -0.46; females: coef. -1.12, 95 % CI -1.33; -0.92), hearing impairment (HI) (males: coef. -0.64, 95 % CI -0.93; -0.35; females: coef. -0.96, 95 % CI -1.27; -0.65) and dual sensory impairment (DSI, i.e. VI and HI) (males: coef. -1.81, 95 % CI -2.16; -1.46; females: coef. -2.71, 95 % CI -3.05; -2.38), particularly among females. Moreover, higher dementia risk was observed among participants with VI (hazard ratio (HR) 1.29, 95 % CI 1.17; 1.43), HI (HR 1.18, 95 % CI 1.05; 1.34), and DSI (HR 1.62, 95 % CI 1.45; 1.81) with no sex-interactions. Findings were overall consistent across age and European regions. CONCLUSION: The results suggest the necessity of preventing sensory impairments to maintain good cognitive function. Mitigating depressive symptoms, ADL limitations, and physical inactivity could potentially reduce a significant portion of the total effect of sensory impairments on cognitive decline.

Modified Dead-Alive Test for the assessment of semantic and episodic memory performance of older patients with neurocognitive disorder.

The aim of this study is to provide a test that allows for evaluation of both semantic memory (SM) and episodic memory (EM). The study sought to examine psychometric characteristics of the Modified Dead-Alive Test (M-DAT) in patients with neurocognitive disorders and the healthy elderly (HE). The M-DAT consists of 45 names of celebrities who have died in the remote past (15), died in the last five years (15), and are still alive (15), and participants are asked whether they are alive or dead. The M-DAT performances of patients with Diagnostic and Statistical Manual of Mental Disorders-5 (DSM-5) major neurocognitive disorder due to Alzheimer's Disease (MND-AD) (n = 69) and patients with minor neurocognitive disorder (MiND) (n = 27) who were admitted to a geriatric psychiatry clinic and healthy controls (HC) (n = 29) were compared. Age and level of education were taken as covariates, and an analysis of covariance (ANCOVA) was performed since the MND-AD group was older and less educated. The MND-AD group had lower performance in EM and SM scores of the M-DAT. M-DAT failed to differentiate between MiND and HE. Both subscale scores of the M-DAT were associated with other neuropsychological test performances as well as the level of education. The results suggest that M-DAT is a valid and reliable tool that examines both EM and SM performances. M-DAT is an alternative for the assessment of SM evaluated by verbal fluency or naming tests. Evaluating EM and SM together is an important advantage; however, M-DAT is influenced by education, and the items require updating.

Nutritional risk and adverse health outcomes in Chinese community-dwelling older adults: A study based on the Elderly Nutritional Indicators for Geriatric Malnutrition Assessment (ENIGMA).

OBJECTIVES: Malnutrition and nutritional risk are risk factors for many adverse health outcomes in older adults, but they have rarely been assessed in China. The aim of this study was to evaluate the availability of Elderly Nutritional Indicators for Geriatric Malnutrition Assessment (ENIGMA), a nutritional scale originally developed to predict mortality, in assessing nutritional risks and predicting adverse health outcomes in Chinese community-dwelling older adults. METHODS: This was a population-based longitudinal cohort study (Chinese Longitudinal Healthy Longevity Survey), with a 4-y follow-up of 2063 community-dwelling adults aged 65 y or older. Nutritional risks were assessed via the use of ENIGMA and Geriatric Nutritional Risk Index (GNRI) at baseline (the 2014 wave). Cognitive impairment, functional limitation, and frailty were evaluated using the Chinese version of the Mini-Mental State Examination, Instrumental Activities of Daily Living/Instrumental Activities of Daily Living scale, and Frailty Index, respectively, at baseline and 4-y follow-up (the 2018 wave). Mortality was measured by survival status and duration of exposure to death from baseline to follow-up. The associations of nutritional risks with prevalent/incident cognitive impairment, functional limitation and frailty, and 4-y mortality were estimated using logistic regression and Cox proportional hazards regression models, adjusting for confounders. The discriminatory accuracy of ENIGMA and GNRI for these adverse health outcomes were compared by receiver operating characteristic analyses. RESULTS: According to ENIGMA, 48.6% of the Chinese community-dwelling older adults (age: 86.5±11.3 y) showed moderate and high nutritional risk. Nutritional risks defined by the ENIGMA were significantly associated with increased prevalence and incidence of cognitive impairment, functional limitation, and frailty (odds ratio ranging from 1.79 to 89.6, values ranging from P < 0.001 to 0.048) but were mostly insignificant for that defined by GNRI. With respect to 4-y mortality, nutritional risks as defined by GNRI showed better prediction effects than those defined by ENIGMA. Receiver operating characteristic analyses indicated that nutritional risks defined by ENIGMA had better discriminatory accuracy than those defined by GNRI for prevalent and incident cognitive impairment (C = 0.73 vs 0.64, P < 0.001; C = 0.65 vs 0.59, P = 0.015, respectively), functional limitation (C = 0.74 vs 0.63, P < 0.001 at baseline; C = 0.61 vs 0.56, P = 0.016 at follow-up), frailty (C = 0.85 vs 0.67, P < 0.001 at baseline; C = 0.64 vs 0.55, P < 0.001 at follow-up), and even 4-y mortality (C = 0.68 vs 0.64, P = 0.020). CONCLUSIONS: ENIGMA could serve as a nutritional risk screening tool that has a robust role in predicting cognitive impairment, functional limitation, and frailty in Chinese community-dwelling older adults. It may be recommended for early nutritional risk screening and has the potential to guide early nutritional intervention in communities and primary care settings in China.

Establishment and evaluation of a clinical prediction model for cognitive impairment in patients with cerebral small vessel disease.

BACKGROUND: There are currently no effective prediction methods for evaluating the occurrence of cognitive impairment in patients with cerebral small vessel disease (CSVD). AIMS: To investigate the risk factors for cognitive dysfunction in patients with CSVD and to construct a risk prediction model. METHODS: A retrospective study was conducted on 227 patients with CSVD. All patients were assessed by brain magnetic resonance imaging (MRI), and the Montreal Cognitive Assessment (MoCA) was used to assess cognitive status. In addition, the patient's medical records were also recorded. The clinical data were divided into a normal cognitive function group and a cognitive impairment group. A MoCA score < 26 (an additional 1 point for education < 12 years) is defined as cognitive dysfunction. RESULTS: A total of 227 patients (mean age 66.7 ± 6.99 years) with CSVD were included in this study, of whom 68.7% were male and 100 patients (44.1%) developed cognitive impairment. Age (OR = 1.070; 95% CI = 1.015 ~ 1.128, p < 0.05), hypertension (OR = 2.863; 95% CI = 1.438 ~ 5.699, p < 0.05), homocysteine(HCY) (OR = 1.065; 95% CI = 1.005 ~ 1.127, p < 0.05), lacunar infarct score(Lac_score) (OR = 2.732; 95% CI = 1.094 ~ 6.825, P < 0.05), and CSVD total burden (CSVD_score) (OR = 3.823; 95% CI = 1.496 ~ 9.768, P < 0.05) were found to be independent risk factors for cognitive decline in the present study. The above 5 variables were used to construct a nomogram, and the model was internally validated by using bootstrapping with a C-index of 0.839. The external model validation C-index was 0.867. CONCLUSIONS: The nomogram model based on brain MR images and clinical data helps in individualizing the probability of cognitive impairment progression in patients with CSVD.

A transformer-based unified multimodal framework for Alzheimer's disease assessment.

In Alzheimer's disease (AD) assessment, traditional deep learning approaches have often employed separate methodologies to handle the diverse modalities of input data. Recognizing the critical need for a cohesive and interconnected analytical framework, we propose the AD-Transformer, a novel transformer-based unified deep learning model. This innovative framework seamlessly integrates structural magnetic resonance imaging (sMRI), clinical, and genetic data from the extensive Alzheimer's Disease Neuroimaging Initiative (ADNI) database, encompassing 1651 subjects. By employing a Patch-CNN block, the AD-Transformer efficiently transforms image data into image tokens, while a linear projection layer adeptly converts non-image data into corresponding tokens. As the core, a transformer block learns comprehensive representations of the input data, capturing the intricate interplay between modalities. The AD-Transformer sets a new benchmark in AD diagnosis and Mild Cognitive Impairment (MCI) conversion prediction, achieving remarkable average area under curve (AUC) values of 0.993 and 0.845, respectively, surpassing those of traditional image-only models and non-unified multimodal models. Our experimental results confirmed the potential of the AD-Transformer as a potent tool in AD diagnosis and MCI conversion prediction. By providing a unified framework that jointly learns holistic representations of both image and non-image data, the AD-Transformer paves the way for more effective and precise clinical assessments, offering a clinically adaptable strategy for leveraging diverse data modalities in the battle against AD.

Association of caffeine consumption with cerebrospinal fluid biomarkers in mild cognitive impairment and Alzheimer's disease: A BALTAZAR cohort study.

INTRODUCTION: We investigated the link between habitual caffeine intake with memory impairments and cerebrospinal fluid (CSF) biomarkers in mild cognitive impairment (MCI) and Alzheimer's disease (AD) patients. METHODS: MCI (N = 147) and AD (N = 116) patients of the Biomarker of AmyLoid pepTide and AlZheimer's diseAse Risk (BALTAZAR) cohort reported their caffeine intake at inclusion using a dedicated survey. Associations of caffeine consumption with memory impairments and CSF biomarkers (tau, p-tau181, amyloid beta 1-42 [Aß1-42], Aß1-40) were analyzed using logistic and analysis of covariance models. RESULTS: Adjusted on Apolipoprotein E (APOE ε4), age, sex, education level, and tobacco, lower caffeine consumption was associated with higher risk to be amnestic (OR: 2.49 [95% CI: 1.13 to 5.46]; p = 0.023) and lower CSF Aß1-42 (p = 0.047), Aß1-42/Aß1-40 (p = 0.040), and Aß1-42/p-tau181 (p = 0.020) in the whole cohort. DISCUSSION: Data support the beneficial effect of caffeine consumption to memory impairments and CSF amyloid markers in MCI and AD patients. HIGHLIGHTS: We studied the impact of caffeine consumption in the BALTAZAR cohort. Low caffeine intake is associated with higher risk of being amnestic in MCI/AD patients. Caffeine intake is associated with CSF biomarkers in AD patients.

Characterizing white matter connectome abnormalities in patients with temporal lobe epilepsy using threshold-free network-based statistics.

INTRODUCTION: Emerging evidence illustrates that temporal lobe epilepsy (TLE) involves network disruptions represented by hyperexcitability and other seizure-related neural plasticity. However, these associations are not well-characterized. Our study characterizes the whole brain white matter connectome abnormalities in TLE patients compared to healthy controls (HCs) from the prospective Epilepsy Connectome Project study. Furthermore, we assessed whether aberrant white matter connections are differentially related to cognitive impairment and a history of focal-to-bilateral tonic-clonic (FBTC) seizures. METHODS: Multi-shell connectome MRI data were preprocessed using the DESIGNER guidelines. The IIT Destrieux gray matter atlas was used to derive the 162 × 162 structural connectivity matrices (SCMs) using MRTrix3. ComBat data harmonization was applied to harmonize the SCMs from pre- and post-scanner upgrade acquisitions. Threshold-free network-based statistics were used for statistical analysis of the harmonized SCMs. Cognitive impairment status and FBTC seizure status were then correlated with these findings. RESULTS: We employed connectome measurements from 142 subjects, including 92 patients with TLE (36 males, mean age = 40.1 ± 11.7 years) and 50 HCs (25 males, mean age = 32.6 ± 10.2 years). Our analysis revealed overall significant decreases in cross-sectional area (CSA) of the white matter tract in TLE group compared to controls, indicating decreased white matter tract integrity and connectivity abnormalities in addition to apparent differences in graph theoretic measures of connectivity and network-based statistics. Focal and generalized cognitive impaired TLE patients showcased higher trend-level abnormalities in the white matter connectome via decreased CSA than those with no cognitive impairment. Patients with a positive FBTC seizure history also showed trend-level findings of association via decreased CSA. CONCLUSIONS: Widespread global aberrant white matter connectome changes were observed in TLE patients and characterized by seizure history and cognitive impairment, laying a foundation for future studies to expand on and validate the novel biomarkers and further elucidate TLE's impact on brain plasticity.